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While limited experiments and on-site measurements offer qualitative indication of potential virus spread rates and the level of transmission risk, the quantitative understanding and mechanistic insights also indispensably come from careful theoretical modeling and numerical simulation efforts around which a surge of research papers has emerged. However, due to the highly interdisciplinary nature of the topic, numerical simulations of the airborne spread of expiratory droplets face serious challenges. It is essential to examine the assumptions and simplifications made in the existing modeling and simulations, which will be reviewed carefully here to better advance the fidelity of numerical results when compared to the reality. So far, existing review papers have focused on discussing the simulation results without questioning or comparing the model assumptions. This review paper focuses instead on the details of the model simplifications used in the numerical methods and how to properly incorporate important processes associated with respiratory droplet transmission. Specifically, the critical issues reviewed here include modeling of the respiratory droplet evaporation, droplet size distribution, and time-dependent velocity profile of air exhaled from coughing and sneezing. According to the literature review, another problem in numerical simulations is that the virus decay rate and suspended viable viral dose are often not incorporated; therefore here, empirical relationships for the bioactivity of coronavirus are presented. It is hoped that this paper can assist researchers to significantly improve their model fidelity when simulating respiratory droplet transmission.<\/jats:p>","DOI":"10.1063\/5.0061469","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T09:48:01Z","timestamp":1635328081000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":42,"title":["Challenges in simulating and modeling the airborne virus transmission: A state-of-the-art review"],"prefix":"10.1063","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4910-2708","authenticated-orcid":false,"given":"Farzad","family":"Pourfattah","sequence":"first","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Turbulence Research and Applications, Center for Complex Flows and Soft Matter Research and Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology 1 , Shenzhen 518055,","place":["People's Republic of China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4276-0051","authenticated-orcid":false,"given":"Lian-Ping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8331-9249","authenticated-orcid":false,"given":"Weiwei","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7102-2707","authenticated-orcid":false,"given":"Yong-Feng","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8006-4236","authenticated-orcid":false,"given":"Liangquan","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"317","published-online":{"date-parts":[[2021,10,27]]},"reference":[{"key":"2025052815165288100_c1","unstructured":"See www.worldometers.info for more information about COVID-19 CORONAVIRUS PANDEMIC, 2021."},{"key":"2025052815165288100_c2","first-page":"1837","article-title":"Turbulent gas clouds and respiratory pathogen emissions: potential implications for reducing transmission of COVID-19","volume":"323","year":"2020","journal-title":"JAMA\u2014J. 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